{"id":"W3159865890","doi":"","title":"Is there a Grand Gender Convergence in Canada? â€“ The Jury is Still Out","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Context (archaeology); Economics; Distribution (mathematics); Resource (disambiguation); Demographic economics; Geography; Economic growth; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001937805,0.0002661922,0.0005106369,0.001869353,0.01217924,0.005482321,0.001330195,0.001589703,0.01013509],"category_scores_gemma":[0.005397538,0.0001807823,0.000431168,0.003388071,0.006203937,0.002625087,0.002153266,0.002451391,0.000471219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09150824,"about_ca_system_score_gemma":0.1366334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945527,"about_ca_topic_score_gemma":0.9959878,"domain_scores_codex":[0.997674,0.0001492336,0.00004477722,0.0003498391,0.0008685926,0.0009136222],"domain_scores_gemma":[0.9967771,0.0003615574,0.0001785926,0.0001130979,0.001900132,0.0006694747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003186536,0.00006177858,0.09176249,0.0003707097,0.00008817176,0.00123221,0.03139092,0.0009916978,0.0007913078,0.5358712,0.1322883,0.2048326],"study_design_scores_gemma":[0.00004779618,0.00009028439,0.2904176,0.0009887882,0.0001155686,0.0006961056,0.1022162,0.003883222,0.001561173,0.09202764,0.5076464,0.0003091808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5126393,0.01986179,0.003730042,0.2116114,0.001327359,0.00009459987,0.002498278,0.0001409358,0.2480963],"genre_scores_gemma":[0.9478495,0.005555661,0.001723154,0.01110781,0.00009530957,0.00002163156,0.0004924325,0.00006641509,0.0330881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09150824,"threshold_uncertainty_score":0.6639419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07484453772297116,"score_gpt":0.2803725878570244,"score_spread":0.2055280501340532,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}